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partysplit <- function(varid, breaks = NULL, index = NULL, right = TRUE,
prob = NULL, info = NULL) {
### informal class for splits
split <- vector(mode = "list", length = 6)
names(split) <- c("varid", "breaks", "index", "right", "prob", "info")
### split is an id referring to a variable
if (!is.integer(varid))
stop(sQuote("varid"), " ", "is not integer")
split$varid <- varid
if (is.null(breaks) && is.null(index))
stop("either", " ", sQuote("breaks"), " ", "or", " ",
sQuote("index"), " ", "must be given")
### vec
if (!is.null(breaks)) {
if (is.numeric(breaks) && (length(breaks) >= 1)) {
### FIXME: I think we need to make sure breaks are double in C
split$breaks <- as.double(breaks)
} else {
stop(sQuote("break"), " ",
"should be a numeric vector containing at least one element")
}
}
if (!is.null(index)) {
if (is.integer(index)) {
if (!(length(index) >= 2))
stop(sQuote("index"), " ", "has less than two elements")
if (!(min(index, na.rm = TRUE) == 1))
stop("minimum of", " ", sQuote("index"), " ", "is not equal to 1")
if (!all.equal(diff(sort(unique(index))), rep(1, max(index, na.rm = TRUE) - 1)))
stop(sQuote("index"), " ", "is not a contiguous sequence")
split$index <- index
} else {
stop(sQuote("index"), " ", "is not a class", " ", sQuote("integer"))
}
if (!is.null(breaks)) {
if (length(breaks) != (length(index) - 1))
stop("length of", " ", sQuote("breaks"), " ",
"does not match length of", " ", sQuote("index"))
}
}
if (is.logical(right) & !is.na(right))
split$right <- right
else
stop(sQuote("right"), " ", "is not a logical")
if (!is.null(prob)) {
if (!is.double(prob) ||
(any(prob < 0) | any(prob > 1) | !isTRUE(all.equal(sum(prob), 1))))
stop(sQuote("prob"), " ", "is not a vector of probabilities")
if (!is.null(index)) {
if (!(max(index, na.rm = TRUE) == length(prob)))
stop("incorrect", " ", sQuote("index"))
}
if (!is.null(breaks) && is.null(index)) {
if (!(length(breaks) == (length(prob) - 1)))
stop("incorrect", " ", sQuote("breaks"))
}
split$prob <- prob
}
if (!is.null(info))
split$info <- info
class(split) <- "partysplit"
return(split)
}
varid_split <- function(split) {
if (!(inherits(split, "partysplit")))
stop(sQuote("split"), " ", "is not an object of class",
" ", sQuote("partysplit"))
split$varid
}
breaks_split <- function(split) {
if (!(inherits(split, "partysplit")))
stop(sQuote("split"), " ", "is not an object of class",
" ", sQuote("partysplit"))
split$breaks
}
index_split <- function(split) {
if (!(inherits(split, "partysplit")))
stop(sQuote("split"), " ", "is not an object of class",
" ", sQuote("partysplit"))
split$index
}
right_split <- function(split) {
if (!(inherits(split, "partysplit")))
stop(sQuote("split"), " ", "is not an object of class",
" ", sQuote("partysplit"))
split$right
}
prob_split <- function(split) {
if (!(inherits(split, "partysplit")))
stop(sQuote("split"), " ", "is not an object of class",
" ", sQuote("partysplit"))
prob <- split$prob
if (!is.null(prob)) return(prob)
### either breaks or index must be there
if (is.null(index <- index_split(split))) {
if (is.null(breaks <- breaks_split(split)))
stop("neither", " ", sQuote("prob"), " ", "nor", " ",
sQuote("index"), " ", "or", sQuote("breaks"), " ",
"given for", " ", sQuote("split"))
nkids <- length(breaks) + 1
} else {
nkids <- max(index, na.rm = TRUE)
}
prob <- rep(1, nkids) / nkids
return(prob)
}
info_split <- function(split) {
if (!(inherits(split, "partysplit")))
stop(sQuote("split"), " ", "is not an object of class",
" ", sQuote("partysplit"))
split$info
}
kidids_split <- function(split, data, vmatch = 1:length(data), obs = NULL) {
id <- varid_split(split)
class(data) <- "list" ### speed up
x <- data[[vmatch[id]]]
if (!is.null(obs)) x <- x[obs]
if (is.null(breaks_split(split))) {
if (storage.mode(x) != "integer")
stop("variable", " ", vmatch[id], " ", "is not integer")
} else {
### labels = FALSE returns integers and is faster
### <FIXME> use findInterval instead of cut?
# x <- cut.default(as.numeric(x), labels = FALSE,
# breaks = unique(c(-Inf, breaks_split(split), Inf)), ### breaks_split(split) = Inf possible (MIA)
# right = right_split(split))
x <- .bincode(as.numeric(x), # labels = FALSE,
breaks = unique(c(-Inf, breaks_split(split), Inf)), ### breaks_split(split) = Inf possible (MIA)
right = right_split(split))
### </FIXME>
}
index <- index_split(split)
### empty factor levels correspond to NA and return NA here
### and thus the corresponding observations will be treated
### as missing values (surrogate or random splits):
if (!is.null(index))
x <- index[x]
return(x)
}
character_split <- function(split, data = NULL, digits = getOption("digits") - 2) {
varid <- varid_split(split)
if (!is.null(data)) {
## names and labels
lev <- lapply(data, levels)[[varid]]
mlab <- names(data)[varid]
## determine split type
type <- sapply(data, function(x) class(x)[1])[varid_split(split)]
type[!(type %in% c("factor", "ordered"))] <- "numeric"
} else {
## (bad) default names and labels
lev <- NULL
mlab <- paste("V", varid, sep = "")
type <- "numeric"
}
## process defaults for breaks and index
breaks <- breaks_split(split)
index <- index_split(split)
right <- right_split(split)
if (is.null(breaks)) breaks <- 1:(length(index) - 1)
if (is.null(index)) index <- 1:(length(breaks) + 1)
## check whether ordered are really ordered
if (type == "ordered") {
if (length(breaks) > 1)
type <- "factor"
}
### <FIXME> format ordered multiway splits? </FIXME>
switch(type,
"factor" = {
nindex <- index[cut(seq_along(lev), c(-Inf, breaks, Inf), right = right)]
dlab <- as.vector(tapply(lev, nindex, paste, collapse = ", "))
},
"ordered" = {
if (length(breaks) == 1) {
if (right)
dlab <- paste(c("<=", ">"), lev[breaks], sep = " ")
else
dlab <- paste(c("<", ">="), lev[breaks], sep = " ")
} else {
stop("") ### see above
}
dlab <- dlab[index]
},
"numeric" = {
breaks <- round(breaks, digits)
if (length(breaks) == 1) {
if (right)
dlab <- paste(c("<=", ">"), breaks, sep = " ")
else
dlab <- paste(c("<", ">="), breaks, sep = " ")
} else {
dlab <- levels(cut(0, breaks = c(-Inf, breaks, Inf),
right = right))
}
dlab <- as.vector(tapply(dlab, index, paste, collapse = " | "))
}
)
return(list(name = mlab, levels = dlab))
}
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